Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients.

BACKGROUND: Hepatocellular carcinoma with pulmonary metastasis (HCC-PM) is a common complication of ...

Association between albumin-corrected anion gap and delirium in acute pancreatitis: insights from the MIMIC-IV database.

BACKGROUND: Delirium frequently occurs as a severe complication among patients with acute pancreatit...

Evaluation of Net Withdrawal Time and Colonoscopy Video Summarization Using Deep Learning Based Automated Temporal Video Segmentation.

Adequate withdrawal time is crucial in colonoscopy, as it is directly associated with polyp detectio...

Innovative machine learning approach for liver fibrosis and disease severity evaluation in MAFLD patients using MRI fat content analysis.

This study employed machine learning models to quantitatively analyze liver fat content from MRI ima...

Enhanced gastrocnemius-mimicking lower limb powered exoskeleton robot.

BACKGROUND: Lower limb muscle bionic devices have attracted significant attention in rehabilitation ...

Can Machine Learning Predict Metastatic Sites in Pancreatic Ductal Adenocarcinoma? A Radiomic Analysis.

Pancreatic ductal adenocarcinoma (PDAC) exhibits high metastatic potential, with distinct prognoses ...

A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation.

Accurately segmenting the pancreas from abdominal computed tomography (CT) images is crucial for det...

Prediction of the risk of transplant rejection based on RNA sequencing data of PBMCs before transplantation.

Novel methods for detecting transplant rejection are craved, since conventional methods can detect o...

Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis.

Current first-line treatments of paediatric ulcerative colitis (UC) maintain a 6-month remission in ...

Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI.

BACKGROUND: Proton therapy is commonly used for treating hepatocellular carcinoma (HCC); however, it...

World Endoscopy Organization's Response to the World Health Organization's Global Initiative on Artificial Intelligence for Health.

In response to the World Health Organization's (WHO) Global Initiative on Artificial Intelligence (A...

Machine learning for predicting crohn's disease from routine blood tests years before diagnosis: results from the epi-IIRN cohort.

OBJECTIVES: In this nationwide study, we used the epi-Israeli Inflammatory Bowel Disease (IBD) Resea...

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistent...

NAFLD progression in metabolic syndrome: a Raman spectroscopy and machine learning approach in an animal model.

Nonalcoholic fatty liver disease (NAFLD) is emerging as the leading cause of chronic liver disease i...

Unraveling Liver Cirrhosis: Bridging Pathophysiology to Innovative Therapeutics.

Liver cirrhosis is a complex and progressive condition resulting from sustained liver injury and chr...

[Tips and tricks for the cytological management of cysts].

Fine needle aspiration is a well-known procedure for the diagnosis and management of solid lesions. ...

AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening.

Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and th...

Performance of Clinical Risk Prediction Models for Post-ERCP Pancreatitis: A Systematic Review.

OBJECTIVES: Pancreatitis is common following endoscopic retrograde cholangiopancreatography (ERCP). ...

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